At Anarock Tech, we are building a modern technology platform with automated analytics and reporting tools. This offers timely solutions to our real estate clients while delivering financially favourable and efficient results.
If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, Anarock is the place for you.
Technical Support Specialist
- Minimum experience of 2-5 years with good exposure in customer handling with different software products.
- Provide telephone and email-based pre-sales and post-sales technical support for our software products.
- Investigate issues reported by customers, and communicate with internal product development teams to resolve product issues.
- Resolution of problem/request logs within contracted SLA targets and ensuring users are regularly updated.
- Able to plan, prioritize and organize workload, consistently working within service standards and agreed objectives.
- Create and maintain support knowledgebase.
- Good knowledge of SQL for debugging user issues.
Mandatory Skills
- Hands-on experience with HTML/CSS, Javascript, REST APIs and APIs
- Hands-on experience with SQL.
- Excellent written and verbal communication skills.
- Logging and keeping records of customer/employee queries through the ticketing system on Freshdesk, Slack and other channels.
- Map out weekly and monthly reports on unresolved issues for Tech, and Operations.
- updating FAQs from time to time.
- Maintain updated curriculum database and training records
- Assist Training Managers and Technical Content Writers in updating training docs with newly implemented features, business cases and use cases that occurred in day-to-day activity.
- Good analytical and people management skills to solve understanding gaps in teams via up-to-date technical knowledge
Experience: 3 - 5 years
Skills that will help you build a success story with us
• Strong communication skills.
· You should be a good team player.
· Should be able to coordinate with onsite/ functional/development teams for project tasks.
· Must be dynamic with a strong sense of responsibility and a positive attitude.
· We believe you are:
o An innovator with intellectual curiosity and creativity
o Adaptable, flexible and a professional with integrity
o A good communicator with excellent verbal and written communication skills
o Problem solver with detailed analytical and judgmental skills
o An enthusiastic person in sharing knowledge with team members and
o A good mentor for juniors in the team
Anarock Ethos - Values Over Value:
Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.
We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.

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Department
Product & Technology
Location
On-site | Prabhat Road, Pune
Experience
3-5 Years in a Data Engineering or Analytics Role
Domain
Fintech / Wealth Management — non-negotiable
Compensation
11-12 LPA Fixed + Performance Bonus
Growth
Title upgrade + salary revision at 12–18 months for strong performers
Why this role is different from most Data Engineer postings
You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.
About Cambridge Wealth
Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.
What You Will Be Doing
This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.
We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.
Key Responsibilities:
Data Engineering & Pipelines
- Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
- Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
- Write advanced SQL — window functions, stored procedures, query optimization, index design.
- Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
- Monitor AWS RDS workloads and troubleshoot performance issues proactively.
Financial Analytics & Modelling
- Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
- Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
- Create materialized views and derived tables optimized for dashboards and internal reporting tools.
- Analyse client transaction history to surface patterns in investment behaviour and financial discipline.
Applied ML & AI-Driven Development
- Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
- Implement classification or regression models to support financial pattern detection.
- Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
- Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.
Data Quality & Governance
- Own data integrity end-to-end in a live, high-stakes financial environment.
- Build and maintain validation and cleaning protocols across all financial datasets.
- Maintain Excel models, Power Query workflows, and structured reporting outputs.
Collaboration & Junior Mentorship
- Work directly with Product, Investment Research, and Wealth Advisory teams.
- Translate open-ended business questions into structured queries and measurable outputs.
- Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
- Present findings clearly to non-technical stakeholders — no jargon, just clarity.
Skills — What We Need vs. What Helps
Skill / Tool
Requirement
Must-Haves:
SQL & PostgreSQL (window functions, stored procedures, optimization)
Python — Pandas, NumPy for data processing and automation
ML fundamentals — classification or regression (Scikit-learn)
AWS RDS or equivalent cloud database experience
Financial domain knowledge — mutual funds, SIPs, portfolio concepts
Python data visualization — Matplotlib, Seaborn, or Plotly
Strong Advantage
Excel — Power Query, advanced modelling
Materialized views, query planning, index optimization
Experience with BI/dashboard tools
Good to Have
NoSQL databases
Prior fintech or wealth management startup experience
Financial Domain — Non-Negotiable
This is a wealth management platform. You must come in with a working understanding of:
- Mutual fund structures, scheme types, and NAV-based transactions
- Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
- Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
- How HNI/NRI clients interact with financial products differently from retail investors
You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.
The Culture Fit — Read This Carefully
We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:
- Has worked at a small startup before and is used to wearing multiple hats
- Finds broken or slow data systems genuinely irritating and fixes them without being asked
- Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
- Is comfortable saying 'I don't know but I'll find out' and follows through independently
- Wants visibility and ownership, not just a well-defined job description
- Is looking for a role where strong performance is directly visible and rewarded
Growth Path — What Happens If You Perform
This is not a vague 'growth opportunity' pitch.
If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.
Preferred Background
- 2–4 years in a data engineering or analytics role at a startup or small Fintech
- Experience in a live product environment where data errors have real consequences
- Exposure to portfolio analytics, investment research, or wealth management platforms
- Has mentored or reviewed code for at least one junior team member
Hiring Process
We respect your time. The process is direct and moves fast.
- Screening Questions — 5 minutes online
- Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
- People Round — 30-minute video call, culture and communication
- Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
- Founder's Interview — 1 hour in person, growth conversation and mutual fit
- Offer & Background Verification
Drive result-oriented digital initiatives in the functional areas of Strategic Planning / S&OP,
Demand planning & forecasting, Logistics/Dispatch planning, Inventory Optimization, Production
planning, Raw Material Planning, Supplier Collaboration & Management.
To conduct discussions/workshops with stakeholders to gain an understanding of the current
business process layout, synthesize business requirements, analyze documents on existing
business processes using business models, and workflow diagrams, bring out key areas requiring
improvement
Providing recommendations on supply chain digital transformation best practices
To be responsible end to end of executing tasks by following up and interacting with various
teams/leaders within the organization.
Prepare compelling business cases and other presentations on key insights and
recommendations to senior stakeholders
Re-engineer processes, develop to-be business landscape, defines KPIs and roadmap to achieve
the desired state
End-to-end ownership of shaping solutions & defining the right approach.
Key Competencies:
Proven experience and knowledge in the areas of supply chain management including (SCM
Analytics transformation, and SCM digital transformation)
Familiar with the next-generation supply chain cloud platforms and data science methods for
predictive and prescriptive analytics in the supply chain domain
Have a deep understanding of end-to-end supply chain/ OTC business processes
Strong hands-on experience and knowledge in the areas of supply chain management ( O2C,
Supply chain, and demand management, SCM transformation, SCM planning, and execution,
etc.)
Experience in leading complex, cross-functional projects/modules from design to implementation
Understanding of general technology trends, recent developments, and their business implications in areas such as the factory of the future, Edge computing, Hybrid cloud,
Automation, Blockchain, IoT, AI/Cognitive, RPA, Analytics
Critical/Innovative Thinking with a machine first mindset
Excellent written and verbal communication and presentation skills.
Project management, Stakeholder Management, Creative problem-solving skills, and excellent communication Skills
Experience in the Retail industry would be an added advantage
What you’ll do
- Take full ownership of features from problem → design → code → deploy → iterate
- Build modular, scalable APIs and frontend components using the MERN stack
- Use AI tools to write, debug, optimize code, and unblock yourself fast
- Integrate 3rd-party APIs, services, and AI capabilities where relevant
- Collaborate async with product, design, and other engineers
- Optimize performance, scalability, and dev workflows
- Own dev hygiene—documentation, tests, Git practices, CI/CD pipelines
Must-Haves:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 4–5 years of full-stack experience in production-grade MERN apps
- You’ve shipped products end-to-end, not just maintained features
- Strong in JavaScript/TypeScript, both on frontend and backend
- Solid foundation in system design, API design, and debugging
- Comfortable using AI-native tools to code faster and better
- GitHub is your second home. You write clean commits and structured PRs
- Cloud/infra experience (Vercel, AWS, Docker/Kubernetes)
Nice-to-Have:
- Experience in HR or Ed Tech, Experience in assessment platforms
- Experience with SSR (Next.js), GraphQL, WebSockets, or Firebase
- Familiarity with AI API integration (OpenAI, Pinecone, LangChain, etc.)
- Open-source contributions, side projects, or an active GitHub
- Achieving Enrolment targets (End to End sales)
- Lead generation through cold calling
- Identifying suspects and prospects.
- Meeting & Counselling prospective students (mostly working executives in various industries)
Location: Mumbai (Dadar, Thane and Rabale)
Experience: 0-4 Years Inside Sales (Ed Tech is a plus)
Responsibilities
- Develop, deploy, and maintain scalable products
- Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
- Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
- Help to define roadmap and architecture based on technology and business needs
- Understand business requirements and work closely with the business to provide solutions
Eligibility
- Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
- Strong experience with Django/Flask.
- Strong experience in writing unit tests.
- B.Tech/B.E (Preferred CSE)
What you will do:
- Building exciting and high impact features for the small business community such as inventory management, billing, accounting, tax filing
- Having high user empathy, looking at the entire flow, taking care of all the edge cases and is creative in problem solving
- A customer-first approach - you must always think customer first and be absolutely unwilling to make compromises on customer experience.
- Past experience in creating products for small and medium businesses will be preferred
- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.
Kruzr is building a virtual assistant to help drivers be safe on roads. We help drivers manage distractions in a safe manner, drive in a safe speed range, and avoid drowsy driving and accident prone zones. Our platform also provides deep insights into driver behaviour for better understanding and modelling of risk.
We provide our technology as a platform to motor insurance companies, and now expanding into fleets and ride sharing, to help them reduce accidents and get better visibility of their risk exposure.
We are looking for a product manager to own and manage the product, based out of our Bangalore location.
The key responsibilities we are looking for are:
- Identifying consumer (drivers) and client (insurance and other partners) and inculcate that into our product roadmap
- Work with the engineering leads to translate the product roadmap into technical specs
- Work with the business team to define the product strategy and build and own the product roadmap
- Define the product metrics and lead a team of product analysts to continuously evolve each feature for maximum customer adoption and growth.
- Maintain a prioritised backlog and execute efficiently to deliver a great experience for customers
- Gather feedback from customers and clients to continuously improve the product features.
- Manage product release cycles
The key traits we are looking for are:
- You should have the technical knowledge to understand how products are built and have a keen eye for product design and user experience.
- You should be a master communicator to help the dev team understand the details of the product and ensure the product or feature shipped is as designed and envisioned.
- You should be diligent and disciplined in your approach.
You must have:
- 3+ years of product management at a software or mobile technology company
- Demonstrated success in delivering compelling products in a fast-growing, dynamic environment
- Strong business acumen, are customer focused, and results-oriented
- Experience crafting easy to use, delightful user interfaces









